Intelligent safekeeping method for dish washing machine, storage medium and dish washing machine

Abstract

The invention discloses a dish-washing machine intelligent storage method, a storage medium and a dish-washing machine, and the method comprises the steps: obtaining the current region temperature and current region humidity from a cloud or a server in response to an environment parameter request signal; the inner cavity temperature and the inner cavity humidity of the current dish washing machine are obtained, and the inner cavity condensation temperature is calculated according to the inner cavity temperature and the inner cavity humidity; according to the inner cavity condensation temperature, the inner cavity temperature, the current region temperature and the inner cavity humidity, the inner cavity condensation risk coefficient of the current dish washing machine is calculated; according to the current region humidity and the inner cavity humidity, the current inner and outer relative humidity trend of the cavity is calculated; based on the inner cavity condensation risk coefficient, the inner and outer relative humidity trend of the cavity, the current region temperature and the inner cavity condensation temperature, a dish-washing machine storage strategy is executed. The temperature and humidity data of the current region are obtained through the cloud, the material cost is reduced, the region temperature and humidity data provided by the cloud reflect the macroscopic environment change, passive response is changed into active intervention, and the storage reliability is improved.

Description

Technical Field

[0001] This invention relates to the field of dishwasher technology, specifically to a smart storage method for dishwashers, a storage medium, and a dishwasher. Background Technology

[0002] In some regions, the rainy season and winter climate are often characterized by high temperature and high humidity or low temperature and high humidity. Dishwashers typically have a cavity storage function for a period of time after completing the washing and drying cycle, designed to keep tableware dry and hygienic. However, under the aforementioned climatic conditions, due to the significant temperature and humidity differences between the inside and outside of the cavity, dampness can easily occur inside the dishwasher. This means that water droplets condense on the inner wall of the cavity or on the surface of the tableware, causing the tableware to become damp again, breeding bacteria, and affecting the user experience and hygiene safety.

[0003] Currently, the common solution in the industry is to install temperature and humidity sensors inside the dishwasher (inside the cavity) and outside the dishwasher (outside the cavity). By detecting real-time temperature and humidity data inside and outside the cavity, additional heating and ventilation actions are triggered to reduce the humidity inside the cavity and increase the temperature, thereby inhibiting condensation. While this method can alleviate dampness to some extent, it still has the following technical limitations: 1. Increased hardware costs: Temperature and humidity sensors need to be added to the outside of the dishwasher, which not only increases material costs but also increases the complexity of circuit layout and overall assembly; 2. Limited sensing range: Existing external temperature and humidity sensors are mostly placed near the respirator, making it difficult to accurately sense changes in the external environment's temperature and humidity, and unable to predict the risk of dampness in advance, resulting in a passive response mode; 3. Inefficient control logic: Once condensation forms inside the cavity, local humidity will fluctuate non-linearly. Relying solely on data from sensors inside the cavity is insufficient to accurately determine whether condensation has occurred or been eliminated. Therefore, traditional control strategies often rely on periodic heating and ventilation, gradually approaching the target state through multiple cycles of detection and execution. This process is lengthy, consumes significant amounts of electricity, and generates unnecessary operating noise, which contradicts the trend of energy conservation. Frequent heating and ventilation operations lead to increased energy consumption, which does not conform to the current design orientation and development direction of green, low-carbon, energy-saving, and emission-reducing home appliances.

[0004] In view of this, there is an urgent need to design an intelligent storage method for dishwashers to solve the product defects of existing dishwashers in terms of in-cavity storage. Summary of the Invention

[0005] To address the aforementioned problems, this invention provides a smart storage method for dishwashers, a storage medium, and a dishwasher.

[0006] In a first aspect of the present invention, a smart storage method for a dishwasher is provided, comprising: In response to environmental parameter request signals, obtain the current temperature and humidity of the current region from the cloud or server; Obtain the current cavity temperature and humidity of the dishwasher, and calculate the cavity condensation temperature based on the cavity temperature and humidity; Calculate the cavity condensation risk coefficient of the dishwasher based on the cavity condensation temperature, cavity temperature, current regional temperature, and cavity humidity. Calculate the current relative humidity trend inside and outside the cavity based on the current regional humidity and the internal cavity humidity; Based on the cavity condensation risk coefficient, the relative humidity trend inside and outside the cavity, the current regional temperature, and the cavity condensation temperature, a dishwasher storage strategy is implemented.

[0007] In a second aspect of the invention, a computer-readable storage medium is provided, wherein a program is stored therein, which, when executed by a processor, implements the above-described intelligent storage method for a dishwasher.

[0008] In a third aspect of the invention, a dishwasher is provided, comprising: The machine body has an inner cavity for storing tableware. The control module is used to execute the steps of the above-described intelligent storage method for dishwashers during the execution of the computer program; A drying module, which is controlled by the control module, is used to perform drying and storage operations on the inner cavity.

[0009] Compared with the prior art, the technical solution provided by this invention has the following advantages: This intelligent dishwasher storage method eliminates the need for external temperature and humidity sensors when implementing tableware storage strategies. It obtains local temperature and humidity data from the cloud, reducing material costs, simplifying circuit layout and assembly processes, and improving product reliability. Furthermore, the cloud-based regional temperature and humidity data reflects macroscopic environmental changes and is more accurate in reflecting external conditions than local sensors. This allows the dishwasher system to detect the risk of moisture buildup in advance, transforming passive response into proactive intervention and improving storage reliability.

[0010] Furthermore, the dishwasher's intelligent storage method calculates the condensation risk coefficient inside the cavity and the relative humidity trend inside and outside the cavity, enabling the system to more accurately determine the critical state of condensation. This allows the system to trigger heating and ventilation only when necessary, avoiding periodic operation, significantly reducing unnecessary energy consumption and operating noise, and aligning with green and low-carbon design principles. Based on intelligent decision-making through multi-parameter fusion, it can adjust the temperature and humidity inside the cavity more promptly and accurately, effectively inhibiting the formation of condensation droplets, preventing secondary dampness and bacterial growth on tableware, achieving personalized intelligent storage, and enhancing the product's environmental adaptability. Attached Figure Description

[0011] Figure 1 This is a flowchart of the intelligent storage method for dishwashers according to an embodiment of the present invention.

[0012] Figure 2 This is a perspective view of a dishwasher according to an embodiment of the present invention.

[0013] Figure 3 This is a schematic diagram of the internal electrical control of a dishwasher according to an embodiment of the present invention. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0015] Example 1

[0016] Combined with appendix Figure 1 The present invention provides a smart storage method for dishwashers, comprising: Step S100: In response to the environmental parameter request signal, obtain the current temperature and humidity of the current region from the cloud or server; Step S200: Obtain the current cavity temperature and cavity humidity of the dishwasher, and calculate the cavity condensation temperature based on the cavity temperature and cavity humidity; Step S300: Calculate the cavity condensation risk coefficient of the dishwasher based on the cavity condensation temperature, cavity temperature, current regional temperature, and cavity humidity. Step S400: Calculate the current relative humidity trend inside and outside the cavity based on the current regional humidity and the internal cavity humidity; Step S500: Based on the condensation risk coefficient of the cavity, the relative humidity trend inside and outside the cavity, the current regional temperature, and the condensation temperature of the cavity, execute the dishwasher storage strategy.

[0017] In this embodiment, the step numbers are only for describing the content of the technical solution and are not intended to limit the execution order between the steps. For example, step S100 and step S200 can be completed in parallel, or step S100 can be executed first and then step S200 can be executed.

[0018] In this embodiment, the intelligent storage method for dishwashers eliminates the need for additional temperature and humidity sensors on the outside of the dishwasher when implementing the tableware storage strategy. It obtains the current regional temperature and humidity data through the cloud, reducing material costs, simplifying circuit layout and overall assembly process, and improving product reliability. Furthermore, the regional temperature and humidity data provided by the cloud reflects changes in the macro environment and can more accurately reflect external conditions than local sensors, enabling the dishwasher system to detect the risk of moisture in advance, transforming passive response into proactive intervention and improving storage reliability.

[0019] In this embodiment, step S200, which involves obtaining the current cavity temperature and humidity of the dishwasher and calculating the cavity condensation temperature based on the cavity temperature and humidity, includes: Step S210: After the dishwasher finishes its cleaning cycle, start the steady-state delay period inside the cavity. ; Step S220, only during the steady-state delay period of the inner cavity After completion, the internal cavity temperature was sampled continuously at multiple time points. and the humidity inside the cavity at any time ; Step S230: Within the continuous sampling time window, the internal cavity temperature is recorded at the specified time. and the humidity inside the cavity at the specified time Perform an average value calculation to obtain the average internal temperature. and average internal humidity ; Step S240: Calculate the average temperature of the inner cavity. and the average humidity of the cavity The internal cavity temperature was obtained by recursive calculation. and the humidity of the inner cavity ; Step S250, based on the internal cavity temperature and the humidity of the cavity Calculate the condensation temperature inside the cavity. .

[0020] In this embodiment, after the dishwasher finishes its cleaning cycle, the temperature and humidity inside the cavity are not within the monitored range for cavity storage. Therefore, a steady-state delay period is required within the cavity. Then, the temperature of the inner cavity is measured. and the humidity of the inner cavity Sample and calculate.

[0021] In this embodiment, the humidity of the inner cavity is... The calculation is explained as follows: The humidity of the cavity is sampled continuously at N time points. ,in For the internal humidity at N time points The average humidity of the cavity is obtained by performing an average value calculation. ,in The average humidity of the inner cavity. The humidity of the cavity is obtained by recursive calculation. , ,in For smoothing coefficients, Adaptive adjustment based on season and / or the region where the dishwasher is located. This represents the average humidity level inside the cavity during this sampling. This is the average humidity level of the cavity from the previous sampling. The cavity temperature... With the humidity of the inner cavity The calculation method is the same, so I will not repeat it again.

[0022] In this embodiment, based on the internal cavity temperature and the humidity of the inner cavity Calculate the condensation temperature inside the cavity. The calculation formula is as follows: ,in , and All are natural numbers.

[0023] In this embodiment, step S300, namely calculating the cavity condensation risk coefficient of the current dishwasher based on the cavity condensation temperature and the cavity temperature, includes: Step S310, based on the condensation temperature of the inner cavity and the internal cavity temperature Calculate the condensation risk factor in the first inner cavity. ; Step S320, based on the internal cavity temperature and the current regional temperature Calculate the condensation risk factor in the second inner cavity. ; Step S330, based on the humidity of the inner cavity The rate of change was used to calculate the condensation risk factor in the third inner cavity. ; Step S340, assess the condensation risk factor of the first inner cavity. Second internal cavity condensation risk factor and the third cavity condensation risk factor Weighting coefficients are assigned, and the internal cavity condensation risk coefficient is obtained by weighting. .

[0024] In this embodiment, the first cavity condensation risk factor The calculation formula is: ,in It is a preset safety temperature difference constant. The lower the value, the closer the air is to saturation, and the higher the risk of condensation.

[0025] In this embodiment, the second inner cavity condensation risk factor The calculation formula is: ,in Here is a temperature constant used for normalization. The higher the value, the greater the potential for temperature difference-driven condensation.

[0026] In this embodiment, the third internal cavity condensation risk factor The calculation formula is: ,in A value greater than 0 indicates that humidity is in an upward phase, moisture is still being released, and the risk of condensation is accumulating.

[0027] In this embodiment, the risk factor for internal cavity condensation is... The calculation formula is: ,in , and These are the risk factors for condensation in the first inner cavity. Second internal cavity condensation risk factor and the third cavity condensation risk factor Weighting coefficient, internal cavity condensation risk coefficient It comprehensively reflects the condensation risk from three dimensions: saturation, temperature difference, and dynamic trends, providing an accurate and comprehensive basis for subsequent control decisions.

[0028] In this embodiment, step S400, namely calculating the current relative humidity trend inside and outside the cavity based on the current regional humidity and the internal cavity humidity, includes: Step S410: Based on the internal humidity at multiple consecutive sampling times. Calculate the rate of change of internal humidity. ; Step S420, based on the humidity change rate of the inner cavity and the current regional humidity Calculate the current relative humidity trend inside and outside the cavity. .

[0029] In this embodiment, the rate of change of humidity in the cavity The above-mentioned third internal cavity condensation risk factor can be referenced. The calculation method.

[0030] In this embodiment, the current relative humidity trend inside and outside the cavity The calculation formula is: ,in As a correction factor, based on the hardware parameters of different dishwashers, Different values ​​of will affect the following judgments on whether the humidity trend is aggravating or easing.

[0031] In this embodiment, step S500, which involves executing a dishwasher storage strategy based on the cavity condensation risk coefficient, the relative humidity trend inside and outside the cavity, the current regional temperature, and the cavity condensation temperature, is an intelligent decision made through multi-parameter fusion. Specifically, it includes: (1) determining the relative humidity trend inside and outside the cavity; (2) determining the cavity condensation risk coefficient and a preset condensation risk coefficient; and (3) determining the difference between the current regional temperature and the cavity condensation temperature. These will be further explained below.

[0032] In this embodiment, step S500 includes: Step S510, when the relative humidity trend inside and outside the cavity... The humidity trend was determined to be intensifying, and the risk factor for condensation in the inner cavity was [not specified]. Below the first condensation risk factor Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; Step S511, if the current regional temperature Higher than the condensation temperature of the inner cavity If the cavity ventilation time interval is shortened or the cavity ventilation time is extended, the fan will be driven to operate at the first ventilation power. Step S512, if the current regional temperature Not higher than the condensation temperature of the inner cavity Then the cavity ventilation will stop and the heating element will be driven to operate at the first heating power.

[0033] In this embodiment, the scenario addressed by steps S510 and S511 is: an increasing trend in internal cavity humidity but a high risk of internal cavity condensation. It is still at a low risk level. The temperature in the current area at this time... Higher than the condensation temperature of the inner cavity In certain situations, natural ventilation of the cavity can be achieved by driving a fan, which consumes minimal energy when the risk is low, preventing the cavity from entering a state that requires high energy intervention, while also slowing down the humidity trend in the cavity.

[0034] In this embodiment, the scenario addressed by steps S510 and S511 is: an increasing trend in internal cavity humidity but a high risk of internal cavity condensation. It is still at a low risk level. The temperature in the current area at this time... Not higher than the condensation temperature of the inner cavity In this situation, the active ventilation of the cavity is stopped, and the heating element inside the dishwasher is activated to counteract the increasing humidity inside the cavity, thus more effectively mitigating the impact of deteriorating external environmental conditions. Preferably, the first heating power is the minimum starting power of the PTC heating system.

[0035] In this embodiment, step S500 further includes: Step S520, when the relative humidity inside and outside the cavity tends to The humidity trend was determined to be intensifying, and the risk factor for condensation in the inner cavity was [not specified]. Greater than the first condensation risk coefficient And less than the second condensation risk coefficient Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; Step S521, if the current regional temperature Higher than the condensation temperature of the inner cavity If this is not the case, the cavity ventilation interval will be further shortened or the cavity ventilation time will be extended, and the fan will be driven to operate at the second ventilation power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient ; Step S522, if the current regional temperature Not higher than the condensation temperature of the inner cavity If the cavity ventilation is stopped, the heating element will be driven to operate at the second heating power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient .

[0036] In this embodiment, the scenarios faced by steps S520 and S521 are more severe than those faced by steps S510 and S511, namely, the risk factor of condensation in the inner cavity is higher. When the risk level reaches a medium level, the external ambient temperature is still used to drive the fan for natural ventilation of the inner cavity. It should be noted that the second ventilation power is greater than the first ventilation power.

[0037] In this embodiment, the scenarios faced by steps S520 and S522 are more severe than those faced by steps S510 and S512, namely, the risk factor of condensation in the inner cavity is higher. When the risk level is reached, the active ventilation of the cavity is stopped, and the heating element inside the dishwasher is activated to counteract the humidity trend inside the cavity. It should be noted that the second heating power is greater than the first heating power.

[0038] In this embodiment, step S500 further includes: Step S530, when the relative humidity inside and outside the cavity tends to The humidity trend was determined to be mitigating, and the risk factor for condensation in the cavity was [not specified]. Below the first condensation risk factor If the cavity ventilation and heating functions are stopped, the cavity will remain silent.

[0039] In this embodiment, the scenario addressed by step S530 is: a reduction in humidity trends and a decrease in the risk of condensation within the cavity. At this low-risk level, turn off all the drying devices in the dishwasher and keep the cavity sealed to reduce energy consumption to zero.

[0040] In this embodiment, step S500 further includes: Step S540, when the relative humidity inside and outside the cavity tends to The humidity trend was determined to be mitigating, and the risk factor for condensation in the cavity was [not specified]. Greater than the first condensation risk coefficient And less than the second condensation risk coefficient Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; Step S541, if the current regional temperature Higher than the condensation temperature of the inner cavity If the fan is activated, it will immediately operate at the third ventilation power until the risk factor for condensation in the inner cavity is reached. Lower than the first condensation risk coefficient ; Step S542, if the current regional temperature Not higher than the condensation temperature of the inner cavity If the cavity ventilation is stopped, the heating element will be driven to operate at the third heating power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient .

[0041] In this embodiment, the scenario addressed by steps S540 and S541 is: the humidity trend is easing but the risk of condensation in the inner cavity remains high. The risk level has reached a medium level due to the current temperature in the region. Higher than the condensation temperature of the inner cavity The fan is driven to work, reducing the risk of condensation in the inner cavity. Reduced to the first condensation risk factor It should be noted that the third ventilation power is greater than the first ventilation power but less than the second ventilation power.

[0042] In this embodiment, the scenario addressed by steps S540 and S542 is: a decrease in humidity trend but a high risk of condensation in the internal cavity. The risk level has reached a medium level due to the current temperature in the region. Not higher than the condensation temperature of the inner cavity This drives the heating element inside the dishwasher to work, reducing the risk of condensation inside the cavity. Reduced to the first condensation risk factor It should be noted that the third heating power is greater than the first heating power but less than the second heating power.

[0043] In this embodiment, step S500 further includes: Step S550, when the internal cavity condensation risk factor Not less than the second condensation risk factor When the cavity ventilation is interrupted, the internal circulation fan and heating element are activated to operate at the fourth power level until the cavity condensation risk factor is reached. Lower than the second condensation risk coefficient .

[0044] In this embodiment, the scenario addressed in step S550 is: the risk factor of internal cavity condensation. When the risk level is high, dehumidification is necessary, at which point the internal circulation fan and heating element will both operate at full power.

[0045] In this embodiment, except for step S530 where the heating element and fan will not be activated, all other steps require the operation of at least one of the following components: fan, heating element, and internal circulation fan. Therefore, after the dehumidification and drying operation ends, to prevent the internal sensor from detecting incorrect data, a delay mechanism is required after the dehumidification and drying operation. That is, after executing the intelligent storage method once, a preset delay is performed before the intelligent storage method is executed again.

[0046] In this embodiment, if the dishwasher performs step S530 (i.e., the heating element and fan are not activated), the intelligent storage method is executed cyclically at regular intervals.

[0047] In this embodiment, after the dishwasher finishes its cleaning cycle, a steady-state delay period in the cavity is initiated. Only during the steady-state delay period of the inner cavity After completion, an environmental parameter request signal is generated periodically; the environmental parameter request signal includes location identification information representing the geographical location of the dishwasher; and response data returned by the cloud server is received, the response data including at least the current temperature and humidity of the current region corresponding to the location identification information.

[0048] The intelligent storage method for dishwashers proposed in this invention calculates the condensation risk coefficient inside the cavity and the relative humidity trend inside and outside the cavity, enabling the system to more accurately determine the critical state of condensation. This allows the system to trigger heating and ventilation only when necessary, avoiding periodic operation, significantly reducing unnecessary energy consumption and operating noise, and conforming to the green and low-carbon design orientation. Based on intelligent decision-making through multi-parameter fusion, it can adjust the temperature and humidity inside the cavity more timely and accurately, effectively inhibiting the formation of condensation droplets, preventing secondary dampness and bacterial growth on tableware, achieving personalized intelligent storage, and enhancing the product's environmental adaptability.

[0049] Example 2

[0050] The present invention provides a computer-readable storage medium containing a program that, when executed by a processor, implements the intelligent storage method for a dishwasher as described in Example 1.

[0051] Example 3

[0052] As attached Figure 2 and attached Figure 3 As shown, the technical solution of the present invention is a dishwasher, comprising: The machine body 10 has an inner cavity 11 for storing tableware. Control module 20, the control module 20 being used to execute the steps of the dishwasher intelligent storage method as described in Embodiment 1; The drying module 30 is controlled by the control module 20 and is used to perform drying and storage operations on the inner cavity 11.

[0053] In this embodiment, the drying module 30 includes a fan 31 (for internal and external circulation ventilation), a heating tube 32 (for internal heating of the cavity), and an internal circulation fan 33 (for internal gas circulation).

[0054] The specific installation positions of the fan 31, the heating element 32, and the internal circulation fan 33 are not limited and depend on the dishwasher model; therefore, they are not specified in the appendix. Figure 2 As shown in the image.

[0055] In this embodiment, the control module 20 has a built-in IoT chip to obtain data on the current temperature and humidity of the current region from the cloud or a server.

[0056] In this embodiment, an inner cavity temperature sensor 40 and an inner cavity humidity sensor 50 are also provided in the inner cavity 11. The inner cavity temperature sensor 40 and the inner cavity humidity sensor 50 respectively output the inner cavity temperature and the inner cavity humidity to the control module 20.

[0057] It should also be noted that, in this specification, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0058] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A smart storage method for dishwashers, characterized in that, include: In response to environmental parameter request signals, obtain the current temperature and humidity of the current region from the cloud or server; Obtain the current cavity temperature and humidity of the dishwasher, and calculate the cavity condensation temperature based on the cavity temperature and humidity; Calculate the cavity condensation risk coefficient of the dishwasher based on the cavity condensation temperature, cavity temperature, current regional temperature, and cavity humidity. Calculate the current relative humidity trend inside and outside the cavity based on the current regional humidity and the internal cavity humidity; Based on the cavity condensation risk coefficient, the relative humidity trend inside and outside the cavity, the current regional temperature, and the cavity condensation temperature, a dishwasher storage strategy is implemented.

2. The intelligent storage method for a dishwasher according to claim 1, characterized in that, The step of obtaining the current cavity temperature and humidity of the dishwasher, and calculating the cavity condensation temperature based on the cavity temperature and humidity, includes: After the dishwasher finishes its cleaning cycle, the steady-state delay period inside the cavity is activated. ; Only during the steady-state delay period of the cavity After completion, the internal cavity temperature was sampled continuously at multiple time points. and the humidity inside the cavity at any time ; Within the continuous sampling time window, the cavity temperature at each specified time point was recorded. and the humidity inside the cavity at the specified time Perform an average value calculation to obtain the average internal temperature. and average internal humidity ; The average temperature of the inner cavity was respectively and the average humidity of the cavity The internal cavity temperature was obtained by recursive calculation. and the humidity of the inner cavity ; According to the internal cavity temperature and the humidity of the inner cavity Calculate the condensation temperature inside the cavity. .

3. The intelligent storage method for a dishwasher according to claim 2, characterized in that, The step of calculating the cavity condensation risk coefficient of the dishwasher based on the cavity condensation temperature and the cavity temperature includes: According to the condensation temperature of the inner cavity and the internal cavity temperature Calculate the condensation risk factor in the first inner cavity. ; According to the internal cavity temperature and the current regional temperature Calculate the condensation risk factor in the second inner cavity. ; According to the humidity of the inner cavity The rate of change was used to calculate the condensation risk factor in the third inner cavity. ; Risk factors for condensation in the first internal cavity Second internal cavity condensation risk factor and the third cavity condensation risk factor Weighting coefficients are assigned, and the internal cavity condensation risk coefficient is obtained by weighting. .

4. The intelligent storage method for a dishwasher according to claim 3, characterized in that, The step of calculating the current relative humidity trend inside and outside the cavity based on the current regional humidity and the internal cavity humidity includes: Based on the intracavitary humidity at multiple consecutive sampling times Calculate the rate of change of internal humidity. ; Based on the humidity change rate of the internal cavity and the current regional humidity Calculate the current relative humidity trend inside and outside the cavity. .

5. The intelligent storage method for a dishwasher according to claim 4, characterized in that, When the relative humidity inside and outside the cavity tends to The humidity trend was determined to be intensifying, and the risk factor for condensation in the inner cavity was [not specified]. Below the first condensation risk factor Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; If the current regional temperature Higher than the condensation temperature of the inner cavity If the cavity ventilation time interval is shortened or the cavity ventilation time is extended, the fan will be driven to operate at the first ventilation power; if the current regional temperature Not higher than the condensation temperature of the inner cavity Then the cavity ventilation action will stop and the heating element will be driven to operate at the first heating power; When the relative humidity inside and outside the cavity tends to The humidity trend was determined to be intensifying, and the risk factor for condensation in the inner cavity was [not specified]. Greater than the first condensation risk coefficient And less than the second condensation risk coefficient Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; If the current regional temperature Higher than the condensation temperature of the inner cavity If this is not the case, the cavity ventilation interval will be further shortened or the cavity ventilation time will be extended, and the fan will be driven to operate at the second ventilation power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient ; If the current regional temperature Not higher than the condensation temperature of the inner cavity If the cavity ventilation is stopped, the heating element will be driven to operate at the second heating power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient .

6. The intelligent storage method for a dishwasher according to claim 4, characterized in that, When the relative humidity inside and outside the cavity tends to The humidity trend was determined to be mitigating, and the risk factor for condensation in the cavity was [not specified]. Below the first condensation risk factor If this occurs, the cavity ventilation and heating functions will cease, and the cavity will remain silent. When the relative humidity inside and outside the cavity tends to The humidity trend was determined to be mitigating, and the risk factor for condensation in the cavity was [not specified]. Greater than the first condensation risk coefficient And less than the second condensation risk coefficient Then compare the current temperature of the region. With the condensation temperature of the inner cavity The temperature difference value; If the current regional temperature Higher than the condensation temperature of the inner cavity If the fan is activated, it will immediately operate at the third ventilation power until the risk factor for condensation in the inner cavity is reached. Lower than the first condensation risk coefficient ; If the current regional temperature Not higher than the condensation temperature of the inner cavity If the cavity ventilation is stopped, the heating element will be driven to operate at the third heating power until the cavity condensation risk factor is reached. Lower than the first condensation risk coefficient .

7. The intelligent storage method for a dishwasher according to claim 4, characterized in that, When the internal cavity condensation risk factor Not less than the second condensation risk factor When the cavity ventilation is interrupted, the internal circulation fan and heating element are activated to operate at the fourth power level until the cavity condensation risk factor is reached. Lower than the second condensation risk coefficient .

8. A smart storage method for a dishwasher according to any one of claims 1 to 7, characterized in that, After the dishwasher finishes its cleaning cycle, the steady-state delay period inside the cavity is activated. Only during the steady-state delay period of the inner cavity After completion, an environmental parameter request signal is generated periodically; the environmental parameter request signal includes location identification information representing the geographical location of the dishwasher; and response data returned by the cloud server is received, the response data including at least the current temperature and humidity of the current region corresponding to the location identification information.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a program that, when executed by a processor, implements the intelligent storage method for a dishwasher as described in any one of claims 1 to 8.

10. A dishwasher, characterized in that, include: The machine body has an inner cavity for storing tableware. The control module is configured to perform the steps of the intelligent storage method for dishwasher as described in any one of claims 1 to 8; A drying module, which is controlled by the control module, is used to perform drying and storage operations on the inner cavity.

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